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Sub-Saharan Africa has increased morbidity and mortality related to chronic obstructive pulmonary disease (COPD). COPD among people living with HIV (PLWH) has not been well studied in this region, where HIV/AIDS is endemic. Increasing evidence suggests that respiratory microbial composition plays a role in COPD severity. Therefore, we aimed to investigate microbiome patterns and associations among PLWH with COPD in Sub-Saharan Africa. We conducted a cross-sectional study of 200 adults stratified by HIV and COPD in rural Uganda. Induced sputum samples were collected as an easy-to-obtain proxy for the lower respiratory tract microbiota. We performed 16S rRNA gene sequencing and used PICRUSt2 (version 2.2.3) to infer the functional profiles of the microbial community. We used a statistical tool to detect changes in specific taxa that searches and adjusts for confounding factors such as antiretroviral therapy (ART), age, sex, and other participant characteristics. We could cluster the microbial community into three community types whose distribution was shown to be significantly impacted by HIV. Some genera, e.g., , , , and , were significantly enriched in HIV-infected individuals, while the COPD status was significantly associated with and abundance. Furthermore, reduced bacterial richness and significant enrichment in were associated with HIV-COPD comorbidity. Functional prediction using PICRUSt2 revealed a significant depletion in glutamate degradation capacity pathways in HIV-positive patients. A comparison of our findings with an HIV cohort from the United Kingdom revealed significant differences in the sputum microbiome composition, irrespective of viral suppression. Even with ART available, HIV-infected individuals are at high risk of suffering comorbidities, as shown by the high prevalence of noninfectious lung diseases in the HIV population. Recent studies have suggested a role for the respiratory microbiota in driving chronic lung inflammation. The respiratory microbiota was significantly altered among PLWH, with disease persisting up to 3 years post-ART initiation and HIV suppression. The community structure and diversity of the sputum microbiota in COPD are associated with disease severity and clinical outcomes, both in stable COPD and during exacerbations. Therefore, a better understanding of the sputum microbiome among PLWH could improve COPD prognostic and risk stratification strategies. In this study, we observed that in a virologically suppressed HIV cohort in rural Uganda, we could show differences in sputum microbiota stratified by HIV and COPD, reduced bacterial richness, and significant enrichment in associated with HIV-COPD comorbidity.
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http://dx.doi.org/10.1128/spectrum.02139-21 | DOI Listing |
Cystic fibrosis (CF) and chronic obstructive pulmonary disease (COPD) are muco-obstructive lung diseases. Knowledge of molecular processes has much improved therapeutic options in CF, whereas much less is known for COPD, a disease affecting an increasing number of patients. Here, we report a multilayer workflow integrating microbiome, inflammation and proteome profiling with clinical data to identify disease specific characteristics in sputum.
View Article and Find Full Text PDFRespir Med
August 2025
Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain. Electronic address:
Background: We aimed to elucidate the cystic fibrosis (CF) microbiota composition (shotgun metagenomics) and functionality (short-chain fatty acids, SCFAs).
Methods: Fecal and sputum samples were recruited from 39 clinically stable CF subjects.
Results: Bacillota and Pseudomonadota were dominant in both gut and lung compartments, whereas Ascomycota were the most abundant fungi in feces, and Basidiomycota, especially Malassezia globosa, in sputum.
Microorganisms
July 2025
Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China.
Respiratory microbiota and lipids are closely associated with airway inflammation. This study aimed to analyze the correlations among the respiratory microbiome, the airway glycerophospholipid-sphingolipid profiles, and airway inflammation in patients with asthma. We conducted a cross-sectional study involving 61 patients with asthma and 17 healthy controls.
View Article and Find Full Text PDFCancers (Basel)
August 2025
Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
The respiratory microbiota is pivotal in maintaining pulmonary health and modulating disease; however, the intricate interplay between smoking, lung cancer, and microbiome composition remains incompletely understood. Here, we characterized the lower respiratory tract microbiome in a Russian cohort of 297 individuals, comprising healthy subjects and lung cancer patients of different smoking statuses (current smokers, former smokers, and nonsmokers). Using next-generation sequencing of the 16S rRNA gene from unstimulated sputum samples, we identify distinct microbiota signatures linked to smoking and lung cancer.
View Article and Find Full Text PDFChest
August 2025
Division of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK. Electronic address:
Background: There is substantial overlap between features of COPD, asthma, bronchiectasis(BE) and cystic fibrosis(CF). Each is characterised by inflammation and mucociliary dysfunction.
Research Question: Is there a relationship between inflammation and mucociliary clearance in chronic respiratory conditions and can biology rather than disease labels stratify patients into therapeutically relevant subtypes?
Study Design And Methods: Patients were categorized by primary disease and clinical characteristics, spontaneous sputum was collected, inflammatory markers (neutrophil elastase(NE) and 19 cytokines), sputum properties (DNA content, mucins, rheology, dry weight) and microbiome (long read 16S sequencing) were measured.